Vogo - Data Scientist
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Requirements
• This role will report directly to the COO. This is a full-time hybrid position, based in Dallas. • 5+ years of professional experience in a Data Scientist or Machine Learning Engineer role, • Expert-level proficiency in Python, including key machine learning libraries • Solid understanding of statistical modeling, experimental design, and data mining techniques • Demonstrated experience owning the full modeling lifecycle, including ETL, data cleansing, feature engineering, model development, deployment, and ongoing maintenance • Experience with SQL and working with large datasets in a cloud environment, particularly GCP, but demonstrated expertise in other platforms can suffice • Strong communication skills, with the ability to explain complex technical concepts to a diverse audience • Experience developing machine learning models within a GCP environment • Familiarity with MLOps practices and tools for deployment, maintenance, and ongoing improvement of models • Experience in the Travel or Financial Services industry
Responsibilities
• Model Development: Design, develop, and implement machine learning models to drive VacationRenter’s sort and search functions, create classification models to predict reservation cancellations, and build predictive models to support pricing strategies • Data Analysis & Feature Engineering: Leverage your business acumen and deep understanding of travel shopping behaviors to identify, engineer, and prioritize the most impactful features that drive model performance • Production Deployment: Collaborate with engineering teams to deploy machine learning models into production, ensuring they perform reliably, scale effectively, and maintain high-quality results • Experimentation & A/B Testing: Design and run controlled experiments to measure and validate the effectiveness and impact of machine learning models • Reporting & Visualization: Develop clear and insightful reports and interactive dashboards to effectively communicate model findings and performance metrics to both technical and non-technical stakeholders • Research & Innovation: Continuously explore and apply the latest advancements in machine learning, AI, and data science to enhance our modeling capabilities and data infrastructure
Benefits
• Top-tier laptop provided • 100% company-paid health benefits for base plan coverage, with the option to upgrade to higher-tier plans • 401(k) with company match • Unlimited, guilt-free vacation days • Annual wellness stipend (gym + other wellness activities) • Monthly house cleaning stipend • Annual travel allowance • Monthly cell phone & internet usage stipend • Charity donation company match • Employee referral bonus • Team offsites/activities! • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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